enVVeno Medical (NVNO) Research & Development (2017 - 2026)
enVVeno Medical (NVNO) posted Research & Development of $2.08 million for Q2 2026, down 28.2% from $2.89 million a year earlier and down 1.7% from the prior quarter.
enVVeno Medical (NVNO) Research & Development (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at enVVeno Medical was $8.72 million, down 26.2% year-over-year; for FY2025, it came in at $9.98 million, down 18.5% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In prior years, enVVeno Medical's Research & Development was $12.25 million in FY2024 (-9.8%), $13.58 million in FY2023 (+37.0%), $9.91 million in FY2022 (+73.1%) and $5.73 million in FY2021 (+34.7%).
- Quarterly Research & Development has run from a low of $1.23 million in Q3 2021 to a high of $4.21 million in Q2 2023 over five years.
- On a year-over-year basis, Research & Development has declined in each of the last four quarters, with an average decline of 11.7% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q2 2022, with growth of 181.9%; the weakest was Q4 2025, with a decline of 44.5%.
- According to Business Quant data, Research & Development for the three prior quarters was $2.11 million (Q1 2026), $1.95 million (Q4 2025) and $2.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | enVVeno Medical | 5.80 Mn | 5.80 Mn | - | 2.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.08 Mn |
| Mar 31, 2026 | 2.11 Mn |
| Dec 31, 2025 | 1.95 Mn |
| Sep 30, 2025 | 2.59 Mn |
| Jun 30, 2025 | 2.89 Mn |
| Mar 31, 2025 | 2.56 Mn |
| Dec 31, 2024 | 3.51 Mn |
| Sep 30, 2024 | 2.86 Mn |
| Jun 30, 2024 | 2.83 Mn |
| Mar 31, 2024 | 3.05 Mn |
| Dec 31, 2023 | 2.98 Mn |
| Sep 30, 2023 | 2.80 Mn |
| Jun 30, 2023 | 4.21 Mn |
| Mar 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 2.49 Mn |
| Jun 30, 2022 | 3.07 Mn |
| Mar 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 1.23 Mn |
enVVeno Medical Research & Development API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=research-and-development&ticker=NVNO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "NVNO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=research-and-development&ticker=NVNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();